Implements Phases 1-8 of the TFTSR implementation plan. Rust backend (Tauri 2.x, src-tauri/): - Multi-provider AI: OpenAI-compatible, Anthropic, Gemini, Mistral, Ollama - PII detection engine: 11 regex patterns with overlap resolution - SQLCipher AES-256 encrypted database with 10 versioned migrations - 28 Tauri IPC commands for triage, analysis, document, and system ops - Ollama: hardware probe, model recommendations, pull/delete with events - RCA and blameless post-mortem Markdown document generators - PDF export via printpdf - Audit log: SHA-256 hash of every external data send - Integration stubs for Confluence, ServiceNow, Azure DevOps (v0.2) Frontend (React 18 + TypeScript + Vite, src/): - 9 pages: full triage workflow NewIssue→LogUpload→Triage→Resolution→RCA→Postmortem→History+Settings - 7 components: ChatWindow, TriageProgress, PiiDiffViewer, DocEditor, HardwareReport, ModelSelector, UI primitives - 3 Zustand stores: session, settings (persisted), history - Type-safe tauriCommands.ts matching Rust backend types exactly - 8 IT domain system prompts (Linux, Windows, Network, K8s, DB, Virt, HW, Obs) DevOps: - .woodpecker/test.yml: rustfmt, clippy, cargo test, tsc, vitest on every push - .woodpecker/release.yml: linux/amd64 + linux/arm64 builds, Gogs release upload Verified: - cargo check: zero errors - tsc --noEmit: zero errors - vitest run: 13/13 unit tests passing Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
136 lines
2.9 KiB
JavaScript
136 lines
2.9 KiB
JavaScript
"use strict";
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const urlencoded = require("./urlencoded");
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exports.implementation = class URLSearchParamsImpl {
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constructor(globalObject, constructorArgs, { doNotStripQMark = false }) {
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let init = constructorArgs[0];
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this._list = [];
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this._url = null;
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if (!doNotStripQMark && typeof init === "string" && init[0] === "?") {
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init = init.slice(1);
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}
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if (Array.isArray(init)) {
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for (const pair of init) {
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if (pair.length !== 2) {
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throw new TypeError("Failed to construct 'URLSearchParams': parameter 1 sequence's element does not " +
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"contain exactly two elements.");
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}
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this._list.push([pair[0], pair[1]]);
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}
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} else if (typeof init === "object" && Object.getPrototypeOf(init) === null) {
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for (const name of Object.keys(init)) {
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const value = init[name];
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this._list.push([name, value]);
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}
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} else {
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this._list = urlencoded.parseUrlencodedString(init);
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}
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}
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_updateSteps() {
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if (this._url !== null) {
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let serializedQuery = urlencoded.serializeUrlencoded(this._list);
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if (serializedQuery === "") {
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serializedQuery = null;
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}
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this._url._url.query = serializedQuery;
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}
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}
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get size() {
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return this._list.length;
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}
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append(name, value) {
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this._list.push([name, value]);
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this._updateSteps();
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}
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delete(name, value) {
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let i = 0;
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while (i < this._list.length) {
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if (this._list[i][0] === name && (value === undefined || this._list[i][1] === value)) {
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this._list.splice(i, 1);
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} else {
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i++;
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}
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}
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this._updateSteps();
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}
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get(name) {
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for (const tuple of this._list) {
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if (tuple[0] === name) {
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return tuple[1];
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}
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}
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return null;
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}
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getAll(name) {
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const output = [];
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for (const tuple of this._list) {
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if (tuple[0] === name) {
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output.push(tuple[1]);
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}
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}
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return output;
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}
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has(name, value) {
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for (const tuple of this._list) {
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if (tuple[0] === name && (value === undefined || tuple[1] === value)) {
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return true;
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}
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}
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return false;
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}
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set(name, value) {
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let found = false;
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let i = 0;
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while (i < this._list.length) {
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if (this._list[i][0] === name) {
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if (found) {
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this._list.splice(i, 1);
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} else {
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found = true;
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this._list[i][1] = value;
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i++;
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}
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} else {
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i++;
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}
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}
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if (!found) {
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this._list.push([name, value]);
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}
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this._updateSteps();
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}
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sort() {
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this._list.sort((a, b) => {
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if (a[0] < b[0]) {
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return -1;
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}
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if (a[0] > b[0]) {
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return 1;
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}
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return 0;
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});
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this._updateSteps();
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}
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[Symbol.iterator]() {
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return this._list[Symbol.iterator]();
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}
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toString() {
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return urlencoded.serializeUrlencoded(this._list);
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}
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};
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